# Gmail MCP Server

> Use this tool when you need to automate email management and generate consistent responses to unread Gmail messages. It solves problems of manual email processing and inconsistent communication styles by providing a seamless interface for AI assistants to read, draft, and reply to emails. The tool accepts unread Gmail messages as input and outputs composed draft replies, with optional integration with Notion for style guide application.

Canonical page: https://skillsregistry.net/skills/victormasson21-foundation-project-mcp  
JSON: https://api.skillsregistry.net/v1/skills/victormasson21-foundation-project-mcp

## Description

Enables AI assistants to read unread Gmail messages and compose draft replies while maintaining thread continuity. It includes optional Notion integration to fetch and apply specific style guides for consistent professional communication.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tk2snlshek)
- **Repository:** <https://github.com/victormasson21/foundation-project-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "victormasson21-foundation-project-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/victormasson21-foundation-project-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/victormasson21-foundation-project-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
